William E. Owen

38 papers receiving 884 citations

Peers

William E. Owen
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 207
  • Reproductive Medicine 61
  • Rheumatology 91
  • Nephrology 37
  • Hematology 55
Replace Manish Gutch with:
Manish Gutch India
Stéphanie Badiou France
Chi Chung Shek China
Zehra Serdar Türkiye
K.M. PRASANNA KUMAR India
Nur Arslan Türkiye
Rajiv Singla India
Joíza Lins Camargo Brazil
Kent E. Opheim United States
Amaal Eman Abdulle Netherlands
William E. Owen relative to Manish Gutch India Manish Gutch's profile →
Citations per field
00.5×3.7×
Manish Gutch · 1×
Citations per year

Countries citing papers authored by William E. Owen

Since Specialization
Citations

This map shows the geographic impact of William E. Owen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William E. Owen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Owen more than expected).

Fields of papers citing papers by William E. Owen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Owen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William E. Owen. The network helps show where William E. Owen may publish in the future.

Co-authors

The 25 scholars most cited alongside William E. Owen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William E. Owen Line = papers co-authored together William E. Owen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006105
2 200888
3 200582
4 200456
5 200352
6 200350
7 200546
8 200644
9 200843
10 200237
11 200735
12 200533
13 200932
14 200326
15 201525
16 201022
17 200616
18 201016
19 201516
20 201113

About William E. Owen

William E. Owen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine and Hematology, having authored 39 papers that have together received 920 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (3 papers), Hormonal and reproductive studies (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Erythropoietin and Anemia Treatment (3 papers), Dialysis and Renal Disease Management (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (207 citations), Reproductive Medicine (61 citations), Rheumatology (91 citations), Nephrology (37 citations) and Hematology (55 citations). William E. Owen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William L. Roberts, William L. Roberts, Mindy L. Rawlins, Ashley M. Bunker, Alan L. Rockwood, A.W. Meikle, Mark M. Kushnir, Curt L. Rohlfing, Mario D’Costa and Verónica Luzzi. Their work appears in journals such as American Journal of Clinical Pathology, Clinica Chimica Acta, Clinical Chemistry, Clinical Biochemistry and Journal of Manual & Manipulative Therapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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